ML QA Engineer for iOS/macOS Creativity Apps

Socket.dev; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Apple's Creativity Apps QA team seeks a Software QA Engineer, Machine Learning to drive end-to-end testing of iOS and macOS creativity apps. You will define evaluation strategies, scripting, automation, and lead all testing stages to ensure high-quality models integrated into apps.

The role requires strong ML knowledge, Python/Swift proficiency, data evaluation, and clear communication to triage issues and guide product quality improvements. Experience with LLMs is a plus.

Qualifications

• Bachelor's degree or equivalent in CS/DS/Math with understanding of SQA methodologies
• Experience evaluating ML models and data pipelines in QA
• Proficient in Python and/or Swift and familiar with ML concepts

Responsibilities

• Define evaluation strategy, scripts, and automation for ML features
• Lead testing phases, triage issues, and drive resolution
• Collaborate with annotation operations to ensure end-to-end quality

Skills

Python

Swift

ML frameworks

Presentation skills

QA methodologies

Data evaluation

Prototyping

Education

Bachelor's degree in CS/DS/Applied Mathematics

Tools

LLMs

Generative AI frameworks

Job description

Apple's Creativity Apps QA team seeks a Software QA Engineer, Machine Learning to drive end-to-end testing of iOS and macOS creativity apps. You will define evaluation strategies, scripting, automation, and lead all testing stages to ensure high-quality models integrated into apps.

The role requires strong ML knowledge, Python/Swift proficiency, data evaluation, and clear communication to triage issues and guide product quality improvements. Experience with LLMs is a plus.